What problem does it solve? Managing Datadog log infrastructure—archives, processing pipelines, indexes, and external forwarding destinations—requires navigating complex APIs and configurations. This Skill provides guided, command-driven management of the entire log configuration lifecycle through the pup CLI. ## Core Features & Use Cases - Log Archives: Create, update, and order archives to S3, GCS, or Azure Blob Storage, including rehydration settings and storage class selection. - Log Pipelines: Build processing pipelines with 15+ processor types (grok parser, remappers, GeoIP, lookup, arithmetic) to parse and enrich logs. - Log Indexes: Configure indexes with retention periods, exclusion filters, daily limits, and priority ordering. - Custom Destinations: Forward logs to HTTP endpoints, Splunk HEC, Elasticsearch, or Microsoft Sentinel with flexible authentication and tag filtering. - Logs RBAC: Create restriction queries and grant roles to control which users can access specific log data. - Use Case: Set up a production logging strategy by creating an S3 archive for compliance, a grok pipeline to parse Nginx logs, a 30-day retention index with debug-log exclusion, and Splunk forwarding for the security team. ## Quick Start Ask the agent to list all current log archives and indexes, then create an S3 archive for production logs with a 30-day retention index.
